Ritesh Ajoodha
Title
Cited by
Cited by
Year
Single-labelled music genre classification using content-based features
R Ajoodha, R Klein, B and Rosman
Pattern Recognition Association of South Africa and Robotics and …, 2015
192015
Forecasting learner attrition for student success at a south african university
R Ajoodha, A Jadhav, S Dukhan
Conference of the South African Institute of Computer Scientists and …, 2020
122020
A prediction model to improve student placement at a south african higher education institution
T Abed, R Ajoodha, A Jadhav
2020 International SAUPEC/RobMech/PRASA Conference, 1-6, 2020
112020
Tracking influence between naïve bayes models using score-based structure learning
R Ajoodha, B Rosman
2017 Pattern Recognition Association of South Africa and Robotics and …, 2017
102017
Learning the influence structure between partially observed stochastic processes using iot sensor data
R Ajoodha, B Rosman
Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
92018
Using statistical models and evolutionary algorithms in algorithmic music composition
R Ajoodha, R Klein, M Jakovljevic
Encyclopedia of Information Science and Technology, Third Edition, 6050-6062, 2015
92015
Influence modelling and learning between dynamic bayesian networks using score-based structure learning
R Ajoodha
82018
Identifying at-risk undergraduate students using biographical and enrollment observations for mathematical science degrees at a south african university
R Ajoodha, A Jadhav
International Journal of Science and Mathematics Education, 1-21, 2017
72017
Application of Deep Learning to Forecast the South African Unemployment Rate: A Multivariate Approach
R Mulaudzi, R Ajoodha
2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering …, 2020
42020
An exploration of machine learning models to forecast the unemployment rate of South Africa: a univariate approach
R Mulaudzi, R Ajoodha
2020 2nd International Multidisciplinary Information Technology and …, 2020
42020
Demonstration that the Use of Feature Selection on High Dimensional South African Macroeconomic Data Results in Improved Performance with Lower Compute Requirements
R Mulaudzi, R Ajoodha
Sixth International Congress on Information and Communication Technology …, 0
3
Application of Artificial Neural Networks to Forecast River Discharge Rates: A Case Study of the Grootfontein Aquifer
Y Kanyama, R Ajoodha, H Seyler, H Tutu
2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering …, 2020
22020
Data-driven student support for academic success by developing student skill profiles
R Ajoodha, S Dukhan, A Jadhav
2020 2nd International Multidisciplinary Information Technology and …, 2020
22020
Building undirected influence ontologies using pairwise similarity functions
T Love, R Ajoodha
2020 International SAUPEC/RobMech/PRASA Conference, 1-6, 2020
22020
Automatic music genre classification
R Ajoodha
22015
Music genre classification: A comparative study between deep-learning and traditional machine learning approaches
DS Lau, R Ajoodha
Sixth International Congress on Information and Communication Technology …, 2021
12021
Application of machine learning techniques in forecasting groundwater levels in the grootfontein aquifer
Y Kanyama, R Ajoodha, H Seyler, N Makondo, H Tutu
2020 2nd International Multidisciplinary Information Technology and …, 2020
12020
Educational data-mining to determine student success at higher education institutions
N Ndou, R Ajoodha, A Jadhav
2020 2nd International Multidisciplinary Information Technology and …, 2020
12020
Using machine learning techniques and matric grades to predict the success of first year university students
N Philippou, R Ajoodha, A Jadhav
2020 2nd International Multidisciplinary Information Technology and …, 2020
12020
Learning the influence between partially observable processes using score-based structure learning
R Ajoodha, B Rosman
Advances in Science, Technology and Engineering Systems Journal. Special …, 2020
12020
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